Content
# CKB — Code Knowledge Backend
**Know your code. Change it safely. Ship with confidence.**
[](https://www.npmjs.com/package/@tastehub/ckb)
[](https://codeknowledge.dev)
[](https://codeknowledge.dev/docs)
[](https://lobehub.com/mcp/simplyliz-codemcp)
[](https://crates.io/crates/lip-cli)
[](https://lip-sigma.vercel.app/docs)
CKB transforms your codebase into a queryable knowledge base. Ask questions, understand impact, find owners, detect dead code—all through CLI, API, or AI assistants.
> Think of it as a senior engineer who knows every line of code, every decision, and every owner—available 24/7 to answer your questions.
---
## Instant Answers to Hard Questions
| Question | Without CKB | With CKB |
|----------|-------------|----------|
| "What breaks if I change this?" | Grep and hope | Precise blast radius with risk score |
| "Who should review this PR?" | Guess from git blame | Data-driven reviewer suggestions |
| "Is this code still used?" | Delete and see what breaks | Confidence-scored dead code detection |
| "What tests should I run?" | Run everything (30 min) | Run affected tests only (2 min) |
| "How does this system work?" | Read code for hours | Query architecture instantly |
| "Who owns this code?" | Search CODEOWNERS manually | Ownership with drift detection |
| "Are there exposed secrets?" | Manual grep for patterns | Automated scanning with 26 patterns |
---
## What You Can Do
🔍 **Understand** — Semantic search, call graphs, usage tracing, architecture maps
⚡ **Analyze** — Impact analysis, risk scoring, hotspot detection, coupling analysis
🛡️ **Protect** — Affected test detection, breaking change warnings, PR risk assessment
🔐 **Secure** — Secret detection, credential scanning, security-sensitive code identification
👥 **Collaborate** — Ownership lookup, reviewer suggestions, architectural decisions (ADRs)
📊 **Improve** — Dead code detection, tech debt tracking, documentation coverage
🚀 **Compound Operations** — Single-call tools (`explore`, `understand`, `prepareChange`) reduce AI tool calls by 60-70%
🔗 **Integrate** — CLI, HTTP API, MCP for AI tools, CI/CD pipelines, custom scripts
---
## Try It Now
```bash
# See what's risky in your codebase
ckb hotspots --format=human
# Check what changed and what might break
ckb diff-summary --format=human
# Scan for exposed secrets
ckb audit --format=human
# Check architecture at a glance
ckb arch --format=human
# Check system status
ckb status
```
---
## Works Everywhere
| AI Assistants | CI/CD | Your Tools |
|---------------|-------|------------|
| Claude Code, Cursor, Windsurf, VS Code, Grok | GitHub Actions, GitLab CI | CLI, HTTP API, Scripts |
**83% token reduction** with smart presets—load only the tools you need.
```bash
# One command to connect to Claude Code
ckb setup
```
> **Building your own tools?** Use CKB as a backend via CLI, HTTP API, or MCP. See the **[Integration Guide](https://github.com/SimplyLiz/CodeMCP/wiki/Integration-Guide)** for examples in Node.js, Python, Go, and shell scripts.
---
## Learn More
| Resource | Description |
|----------|-------------|
| 📖 **[Features Guide](https://github.com/SimplyLiz/CodeMCP/wiki/Features)** | Complete feature list with examples |
| 💬 **[Prompt Cookbook](https://github.com/SimplyLiz/CodeMCP/wiki/Prompt-Cookbook)** | Real prompts for real problems |
| 🔌 **[Integration Guide](https://github.com/SimplyLiz/CodeMCP/wiki/Integration-Guide)** | Use CKB in your own tools and scripts |
| ⚡ **[Impact Analysis](https://github.com/SimplyLiz/CodeMCP/wiki/Impact-Analysis)** | Blast radius, affected tests, PR risk |
| 🔧 **[CI/CD Integration](https://github.com/SimplyLiz/CodeMCP/wiki/CI-CD-Integration)** | GitHub Actions, GitLab CI templates |
---
## Quick Start
### Option 1: npm (Recommended)
```bash
# Install globally
npm install -g @tastehub/ckb
# Or run directly with npx (no install needed)
npx @tastehub/ckb init
```
### Option 2: Homebrew (macOS/Linux)
```bash
brew install simplyliz/ckb/ckb
```
> Use the fully-qualified name. Homebrew 6.0 requires third-party taps to be trusted before it loads them; installing this way grants that trust for this one formula. Tapping first and installing by short name fails with `Refusing to load formula ... from untrusted tap`.
### Option 3: Build from Source
```bash
git clone https://github.com/SimplyLiz/CodeMCP.git
cd CodeMCP
go build -o ckb ./cmd/ckb
```
### Setup
```bash
# 1. Initialize in your project
cd /path/to/your/project
ckb init # or: npx @tastehub/ckb init
# 2. Generate SCIP index (optional but recommended)
ckb index # auto-detects language and runs appropriate indexer
# 3. Connect to Claude Code
ckb setup # creates .mcp.json automatically
# Or manually:
claude mcp add --transport stdio ckb -- npx @tastehub/ckb mcp
```
**Token efficiency shown at startup:**
```
CKB MCP Server v9.3.1
Active tools: 25 / 110 (22%)
Estimated context: ~4k tokens
Preset: core
```
Now Claude can answer questions like:
- *"What calls the HandleRequest function?"*
- *"How is ProcessPayment reached from the API?"*
- *"What's the blast radius if I change UserService?"*
- *"Who owns the internal/api module?"*
- *"Is this legacy code still used?"*
## Why CKB?
| Without CKB | With CKB |
|-------------|----------|
| AI greps for patterns | AI navigates semantically |
| "I found 47 matches for Handler" | "HandleRequest is called by 3 routes via CheckoutService" |
| Guessing at impact | Knowing the blast radius with risk scores |
| Reading entire files for context | Getting exactly what's relevant |
| "Who owns this?" → search CODEOWNERS | Instant ownership with reviewer suggestions |
| "Is this safe to change?" → hope | Hotspot trends + impact analysis |
## Three Ways to Use It
| Interface | Best For |
|-----------|----------|
| **[MCP](https://github.com/SimplyLiz/CodeMCP/wiki/MCP-Integration)** | AI-assisted development — Claude, Cursor, Windsurf, VS Code, OpenCode, Grok |
| **[CLI](https://github.com/SimplyLiz/CodeMCP/wiki/User-Guide)** | Quick lookups from terminal, scripting |
| **[HTTP API](https://github.com/SimplyLiz/CodeMCP/wiki/API-Reference)** | IDE plugins, CI integration, custom tooling |
## How Indexing Works
CKB uses **SCIP indexes** to understand your code. Think of it like a database that knows where every function is defined, who calls it, and how everything connects.
### The Basics
```bash
# 1. Generate an index (auto-detects language)
ckb index
# 2. Check if your index is fresh
ckb status
```
Without an index, CKB still works using tree-sitter parsing (basic mode), but with an index you get:
- Cross-file references ("who calls this function?")
- Precise impact analysis
- Call graph navigation
### Language Support
Not all languages are equal. CKB classifies languages into **quality tiers** based on indexer maturity:
| Tier | Quality | Languages |
|------|---------|-----------|
| **Tier 1** | Full support, all features | Go |
| **Tier 2** | Full support, minor edge cases | TypeScript, JavaScript, Python |
| **Tier 3** | Basic support, call graph may be incomplete | Rust, Java, Kotlin, C++, Ruby, Dart |
| **Tier 4** | Experimental | C#, PHP |
**Key limitations:**
- **Incremental indexing** is Go-only. Other languages require full reindex.
- **TypeScript monorepos** may need `--infer-tsconfig` flag
- **C/C++** requires `compile_commands.json`
- **Python** works best with activated virtual environment
Run `ckb doctor --tier standard` to check if your language tools are properly installed.
See **[Language Support](https://github.com/SimplyLiz/CodeMCP/wiki/Language-Support)** for indexer installation, known issues, and the full feature matrix.
### Keeping Your Index Fresh
Your index becomes stale when you make commits. CKB offers several ways to stay current:
| Method | Command | When to Use |
|--------|---------|-------------|
| Manual | `ckb index` | One-off updates, scripts |
| Watch mode | `ckb index --watch` | Auto-refresh during development |
| MCP watch | `ckb mcp --watch` | Auto-refresh in AI sessions |
| CI webhook | `POST /api/v1/refresh` | Trigger from CI/CD |
**Quick start for AI sessions:**
```bash
ckb mcp --watch # Auto-reindexes every 30s when stale
```
**Check staleness:**
```bash
ckb status
# Shows: "5 commits behind HEAD" or "Up to date"
```
For Go projects, CKB uses **incremental indexing**—only changed files are processed, making updates fast.
See the **[Index Management Guide](https://github.com/SimplyLiz/CodeMCP/wiki/Index-Management)** for complete documentation.
## Features
| Feature | Description |
|---------|-------------|
| [**Compound Operations**](https://github.com/SimplyLiz/CodeMCP/wiki/Features#compound-operations) | `explore`, `understand`, `prepareChange` — single-call tools that reduce AI overhead by 60-70% |
| [**Code Navigation**](https://github.com/SimplyLiz/CodeMCP/wiki/Features#code-navigation--discovery) | Semantic search, call graphs, trace usage, find entrypoints |
| [**Impact Analysis**](https://github.com/SimplyLiz/CodeMCP/wiki/Features#impact-analysis--safety) | Blast radius, risk scoring, affected tests, breaking changes (`compareAPI`) |
| [**Architecture**](https://github.com/SimplyLiz/CodeMCP/wiki/Features#architectural-understanding) | Module overview, ADRs, dependency graphs, explain origin |
| [**Ownership**](https://github.com/SimplyLiz/CodeMCP/wiki/Features#ownership--review) | CODEOWNERS + git blame, reviewer suggestions, drift detection |
| [**Code Quality**](https://github.com/SimplyLiz/CodeMCP/wiki/Features#code-quality--risk) | Dead code detection (`findDeadCode`), coupling analysis, complexity |
| [**Security**](https://github.com/SimplyLiz/CodeMCP/wiki/Security) | Secret detection, credential scanning, allowlists |
| [**Documentation**](https://github.com/SimplyLiz/CodeMCP/wiki/Features#documentation-intelligence) | Doc-symbol linking, staleness detection, coverage metrics |
| [**Multi-Repo**](https://github.com/SimplyLiz/CodeMCP/wiki/Features#multi-repo--federation) | Federation, API contracts, remote index serving |
| [**Runtime**](https://github.com/SimplyLiz/CodeMCP/wiki/Features#runtime-intelligence) | OpenTelemetry integration, observed usage, production dead code |
| [**Streaming**](https://github.com/SimplyLiz/CodeMCP/wiki/Features#streaming) | SSE streaming for `findReferences`, `searchSymbols` with real-time progress |
| [**Automation**](https://github.com/SimplyLiz/CodeMCP/wiki/Features#automation--cicd) | Daemon mode, watch mode, webhooks, incremental indexing |
📖 **[Full Features Guide](https://github.com/SimplyLiz/CodeMCP/wiki/Features)** — Detailed documentation with examples
📋 **[Changelog](https://github.com/SimplyLiz/CodeMCP/blob/main/CHANGELOG.md)** — Version history
## PR Review
CKB review runs 21 quality checks in 5 seconds — secrets, breaking changes, dead code, complexity, test gaps, bug patterns, and more. Zero tokens, zero API calls.
When your AI assistant (Claude Code, Cursor, Windsurf) reviews a PR, it calls CKB first and gets structured analysis in ~1k tokens. Then it only reads the files that matter — saving **50-80% of tokens** on large PRs.
```bash
ckb review --base=main # Human-readable review
ckb review --base=main --ci # CI mode (exit codes)
ckb review --base=main --post=123 # Post as PR comment
```
Works in CI without any LLM:
```yaml
- run: npx @tastehub/ckb review --base=main --ci --format=sarif > review.sarif
```
| | Without CKB | With CKB |
|---|---|---|
| LLM tokens on 100-file PR | ~200k | ~50k |
| Files LLM reads | all | ~10 (CKB-flagged) |
| Secrets/breaking/dead-code checked | no | yes (all files) |
📖 [**How it helps AI review**](docs/marketing/ckb-review/how-it-helps-llm.md) · [**Benchmarks**](docs/marketing/ckb-review/benchmarks.md) · [**CI Integration**](docs/marketing/ckb-review/ci-integration.md) · [**Quickstart**](docs/marketing/ckb-review/quickstart.md)
## CLI
```bash
ckb status # System health (with remediation suggestions)
ckb search Handler # Find symbols
ckb diff-summary # Analyze what changed
ckb hotspots # Risky areas
ckb arch # Architecture overview
ckb ownership # File/path ownership
ckb mcp # Start MCP server
```
**Compound Operations (via MCP):**
```bash
# These tools combine multiple queries into single calls
explore # Area exploration: symbols, dependencies, hotspots
understand # Symbol deep-dive: refs, callers, explanation
prepareChange # Pre-change analysis: impact, tests, risk
batchGet # Fetch up to 50 symbols at once
batchSearch # Run up to 10 searches at once
```
📖 **[User Guide](https://github.com/SimplyLiz/CodeMCP/wiki/User-Guide)** — All CLI commands and options
## HTTP API
```bash
# Start the HTTP server
ckb serve --port 8080
# Example calls
curl http://localhost:8080/health
curl http://localhost:8080/status
curl "http://localhost:8080/search?q=NewServer"
curl http://localhost:8080/architecture
curl "http://localhost:8080/ownership?path=internal/api"
curl http://localhost:8080/hotspots
# Index Server Mode (v7.3) - serve indexes to remote clients
ckb serve --port 8080 --index-server --index-config config.toml
# Index server endpoints
curl http://localhost:8080/index/repos
curl http://localhost:8080/index/repos/company%2Fcore-lib/meta
curl "http://localhost:8080/index/repos/company%2Fcore-lib/symbols?limit=100"
curl "http://localhost:8080/index/repos/company%2Fcore-lib/search/symbols?q=Handler"
# Upload endpoints (with compression + auth)
curl -X POST http://localhost:8080/index/repos \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ckb_xxx" \
-d '{"id":"my-org/my-repo","name":"My Repo"}'
gzip -c index.scip | curl -X POST http://localhost:8080/index/repos/my-org%2Fmy-repo/upload \
-H "Content-Encoding: gzip" \
-H "Authorization: Bearer ckb_xxx" \
--data-binary @-
# Token management (index server admin)
ckb token create --name "ci-upload" --scope upload # Create API key
ckb token list # List all tokens
ckb token revoke ckb_xxx # Revoke a token
ckb token rotate ckb_xxx # Rotate (new secret, same ID)
```
## MCP Integration
CKB works with any MCP-compatible AI coding tool.
<details>
<summary><strong>Claude Code</strong></summary>
```bash
# Auto-configure for current project
npx @tastehub/ckb setup
# Or add globally for all projects
npx @tastehub/ckb setup --global
```
Or manually add to `.mcp.json`:
```json
{
"mcpServers": {
"ckb": {
"command": "npx",
"args": ["@tastehub/ckb", "mcp"]
}
}
}
```
</details>
<details>
<summary><strong>Cursor</strong></summary>
Add to `~/.cursor/mcp.json` (global) or `.cursor/mcp.json` (project):
```json
{
"mcpServers": {
"ckb": {
"command": "npx",
"args": ["@tastehub/ckb", "mcp"]
}
}
}
```
</details>
<details>
<summary><strong>Windsurf</strong></summary>
Add to `~/.codeium/windsurf/mcp_config.json`:
```json
{
"mcpServers": {
"ckb": {
"command": "npx",
"args": ["@tastehub/ckb", "mcp"]
}
}
}
```
</details>
<details>
<summary><strong>VS Code</strong></summary>
Add to your VS Code `settings.json`:
```json
{
"mcp": {
"servers": {
"ckb": {
"type": "stdio",
"command": "npx",
"args": ["@tastehub/ckb", "mcp"]
}
}
}
}
```
</details>
<details>
<summary><strong>OpenCode</strong></summary>
Add to `opencode.json` in project root:
```json
{
"mcp": {
"ckb": {
"type": "local",
"command": ["npx", "@tastehub/ckb", "mcp"],
"enabled": true
}
}
}
```
</details>
<details>
<summary><strong>Grok</strong></summary>
```bash
# Auto-configure for current project
npx @tastehub/ckb setup --tool=grok
# Or add globally
npx @tastehub/ckb setup --tool=grok --global
```
Or manually add to `.grok/settings.json` (project) or `~/.grok/user-settings.json` (global):
```json
{
"mcpServers": {
"ckb": {
"name": "ckb",
"transport": "stdio",
"command": "npx",
"args": ["@tastehub/ckb", "mcp"]
}
}
}
```
</details>
<details>
<summary><strong>Claude Desktop</strong></summary>
Claude Desktop doesn't have a project context, so you must specify the repository path.
**Automatic setup** (recommended):
```bash
cd /path/to/your/repo
ckb setup --tool=claude-desktop
```
**Manual configuration** — add to `~/Library/Application Support/Claude/claude_desktop_config.json` (macOS) or `%APPDATA%\Claude\claude_desktop_config.json` (Windows):
```json
{
"mcpServers": {
"ckb": {
"command": "npx",
"args": ["-y", "@tastehub/ckb", "mcp"],
"env": {
"CKB_REPO": "/path/to/your/repo"
}
}
}
}
```
The `CKB_REPO` environment variable tells CKB which repository to analyze. Claude Desktop can only work with one repository at a time.
</details>
<details>
<summary><strong>Windows</strong></summary>
Use `cmd /c` wrapper in any config above:
```json
{
"mcpServers": {
"ckb": {
"command": "cmd",
"args": ["/c", "npx", "@tastehub/ckb", "mcp"]
}
}
}
```
</details>
<details>
<summary><strong>Presets (Token Optimization)</strong></summary>
CKB exposes 110+ tools, but most sessions only need a subset. Use presets to reduce token overhead by up to 77%:
```bash
# List all available presets with tool counts and token estimates
ckb mcp --list-presets
# Default: core preset (25 essential tools)
ckb mcp
# Workflow-specific presets
ckb mcp --preset=core # 25 tools - search, explain, impact (default)
ckb mcp --preset=review # 42 tools - core + diff, ownership, PR review
ckb mcp --preset=refactor # 42 tools - core + coupling, dead code
ckb mcp --preset=federation # 46 tools - core + cross-repo
ckb mcp --preset=docs # 34 tools - core + doc-symbol linking
ckb mcp --preset=ops # 43 tools - core + jobs, webhooks, metrics
ckb mcp --preset=full # 110 tools - complete feature set
```
In MCP config:
```json
{
"mcpServers": {
"ckb": {
"command": "npx",
"args": ["@tastehub/ckb", "mcp", "--preset=review"]
}
}
}
```
The AI can dynamically expand the toolset mid-session using the `expandToolset` tool.
</details>
## Under the Hood
CKB orchestrates multiple code intelligence backends, using whatever is available and stacking their strengths — more backends running means richer answers:
- **Cartographer** — Fast structural analysis (architecture, dependencies, blast-radius, coupling, directory rollup) that needs **no index** and works the moment CKB is installed. Compiled into the binary, so it ships in the npm and Homebrew builds by default.
- **SCIP** — Precise, pre-indexed symbol data for exact definitions, references, and call graphs (run `ckb index`)
- **LSP** — Real-time language server queries
- **Git** — Blame, history, churn analysis, ownership
- **LIP** — Semantic embedding daemon for nearest-neighbour search and re-ranking. Runs as a **separate, optional daemon** — install and start it alongside CKB.
Results are merged intelligently and compressed for LLM context limits. Every backend except Git is optional; CKB degrades gracefully to whatever is present.
> **LIP enhances semantic search, PR novelty detection, test discovery, file boundary analysis, and architecture coupling signals.** When LIP is running alongside CKB, search quality improves significantly — especially for natural-language queries that don't match symbol names literally. See [Hybrid Retrieval](https://github.com/SimplyLiz/CodeMCP/wiki/Hybrid-Retrieval) for details, or the [LIP documentation](https://lip-sigma.vercel.app/docs).
Persistent knowledge survives across sessions:
- **Module Registry** — Boundaries, responsibilities, tags
- **Ownership Registry** — CODEOWNERS + git-blame with time decay
- **Hotspot Tracker** — Historical snapshots with trend analysis
- **Decision Log** — ADRs with full-text search
## Who Should Use CKB?
- **Developers using AI assistants** — Give your AI tools superpowers
- **Teams with large codebases** — Navigate complexity efficiently
- **Anyone doing refactoring** — Understand impact before changing
- **Code reviewers** — See the full picture of changes
- **Tech leads** — Track architectural health over time
## Limitations (Honest Take)
**CKB excels at:**
- Static code navigation—finding definitions, references, call graphs
- Impact analysis for safe refactoring
- Ownership lookup (CODEOWNERS + git blame)
- Architecture and module understanding
**CKB won't help with:**
- Dynamic dispatch / runtime behavior (use debugger)
- Generated code that isn't indexed
- Code generation, linting, or formatting
- Cross-repo calls (use [federation](https://github.com/SimplyLiz/CodeMCP/wiki/Federation) for this)
> CKB is static analysis, not magic. Always verify critical decisions by reading the actual code.
📖 **[Practical Limits](https://github.com/SimplyLiz/CodeMCP/wiki/Practical-Limits)** — Full guide on accuracy, blind spots, and when to trust results
## Documentation
See the **[Full Documentation Wiki](https://github.com/SimplyLiz/CodeMCP/wiki)** for:
- [Quick Start](https://github.com/SimplyLiz/CodeMCP/wiki/Quick-Start) — Step-by-step installation
- [Prompt Cookbook](https://github.com/SimplyLiz/CodeMCP/wiki/Prompt-Cookbook) — Real prompts for real problems
- [Language Support](https://github.com/SimplyLiz/CodeMCP/wiki/Language-Support) — SCIP indexers and support tiers
- [Practical Limits](https://github.com/SimplyLiz/CodeMCP/wiki/Practical-Limits) — Accuracy notes, blind spots
- [User Guide](https://github.com/SimplyLiz/CodeMCP/wiki/User-Guide) — CLI commands and best practices
- [Index Management](https://github.com/SimplyLiz/CodeMCP/wiki/Index-Management) — How indexing works, auto-refresh methods
- [Incremental Indexing](https://github.com/SimplyLiz/CodeMCP/wiki/Incremental-Indexing) — Fast index updates for Go projects
- [Doc-Symbol Linking](https://github.com/SimplyLiz/CodeMCP/wiki/Doc-Symbol-Linking) — Symbol detection in docs, staleness checking
- [Authentication](https://github.com/SimplyLiz/CodeMCP/wiki/Authentication) — API tokens, scopes, rate limiting
- [MCP Integration](https://github.com/SimplyLiz/CodeMCP/wiki/MCP-Integration) — Claude Code setup, 110+ tools
- [API Reference](https://github.com/SimplyLiz/CodeMCP/wiki/API-Reference) — HTTP API documentation
- [Daemon Mode](https://github.com/SimplyLiz/CodeMCP/wiki/Daemon-Mode) — Always-on service with scheduler, webhooks
- [Configuration](https://github.com/SimplyLiz/CodeMCP/wiki/Configuration) — All options including MODULES.toml
- [Architecture](https://github.com/SimplyLiz/CodeMCP/wiki/Architecture) — System design and components
- [Security](https://github.com/SimplyLiz/CodeMCP/wiki/Security) — Secret detection, credential scanning
- [Telemetry](https://github.com/SimplyLiz/CodeMCP/wiki/Telemetry) — Runtime observability, dead code detection
- [Federation](https://github.com/SimplyLiz/CodeMCP/wiki/Federation) — Cross-repository queries
- [CI/CD Integration](https://github.com/SimplyLiz/CodeMCP/wiki/CI-CD-Integration) — GitHub Actions, PR analysis
## Requirements
**Using npm (recommended):**
- Node.js 16+
- Git
**Building from source:**
- Go 1.21+
- Git
**Optional (for enhanced analysis):**
- SCIP indexer for your language (scip-go, scip-typescript, etc.) — run `ckb index` to auto-install
- [LIP v2.3+](https://lip-sigma.vercel.app) semantic embedding daemon (requires Rust/cargo) — strongly recommended for best search quality ([docs](https://lip-sigma.vercel.app/docs), [crates.io](https://crates.io/crates/lip-cli)):
```bash
cargo install lip-cli
lip daemon --socket ~/.local/share/lip/lip.sock
```
## License
**Free for:**
- Personal use
- Open source projects
- Startups & small businesses under $25k annual revenue
**Commercial license required** for organizations with $25k+ annual revenue. See [pricing](https://codeknowledge.dev/pricing) for Team and Enterprise plans, or [LICENSE](LICENSE) for full terms.
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